With the acceleration of urbanization, urban planning is facing many challenges, such as the rational use of land resources, the protection of the ecological environment, and the improvement of residents' quality of life. Remote sensing technology, as an efficient and wide-ranging data acquisition method, can provide high-resolution, multi-temporal urban spatial information, offering new solutions for urban planning. This paper aims to study the current application of remote sensing technology in urban planning, focusing on the application status and research progress in three aspects: land use classification, heat island effect assessment, and green space ratio extraction. This paper concludes that remote sensing technology has significantly improved the scientific nature and efficiency of urban planning, providing strong support for urban sustainable development. However, it still has limitations in terms of data fusion complexity and high costs. Future research should focus on optimizing the application of remote sensing technology, developing efficient data fusion algorithms, combining artificial intelligence to achieve data automation processing, integrating multi-source data to enhance information comprehensiveness, and strengthening satellite remote sensing technology research and development to improve data timeliness and update frequency.
Ziyang Huang (Fri,) studied this question.